Staff Data Scientist - Product Experimentation & Evaluation - US

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work.

100% remote

Salary Range $120,000 - $260,000

Essential Job Functions

• Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation
• Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc
• Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation
• Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis
• Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity
• Use causal inference / observational studies when randomized experiments are not feasible
• Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions
• Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor
• Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy
• Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation

Requirements

• :8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics
• Proven track record in both startup-style and large-scale product experimentation
• Experience leading teams, setting strategy, and driving execution in cross-functional environments
• Strong background with statistical methods, causal inference, and rigorous measurement
• Experience using LLMs / NLP / AI / prompt engineering or a closely related field
• Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines
• Ability to work in cross-functional teams, translate technical results into business or product changes
• Strong communication skills; ability to explain complex analyses to non-technical stakeholders

Preferred Qualifications

• Experience fine-tuning or working with multiple LLM providers / APIs
• Experience with experiment platforms or building internal tooling for experimentation & model evaluation
• Experience in voice / ASR or other multi-modal data

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Flexible Paid Time Off
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Stock Option Plan